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Journal : SISFOTENIKA

Covid-19 Diagnosis Based Android Mobile Application using Certainty Factor Method Imanuel Sinuraya; Agung Triayudi; Ira Diana Sholihati
SISFOTENIKA Vol 10, No 2 (2020): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.948 KB) | DOI: 10.30700/jst.v10i2.968

Abstract

Expert Systems are part of a general category of computers known as intelligence. Created Expert System to work on a domain. To make it easier to conclude a problem, however, it requires efficient data to a certain part of basic knowledge, and human thinking procedures to implement knowledge on a given problem. In artificial intelligence, an expert system is a computer system that mimics the decision-making ability of humans who are experts in their fields. The main thrust of artificial intelligence is in the development of computer functions related to human intelligence, such as reasoning, learning, and problem solving, to build a knowledge-based system in the specific field of medicine in the domain for the purpose of diagnosing Covid-19 displayed on mobile devices, information that is quickly and precisely from an expert is needed, can be formulated a problem in the form of diagnosis Covid-19 through the application of an expert system in the form of input symptoms. This is what drives the creation of the Covid-19 diagnostic system using a certainty factor based on Android mobile application. 
Implementation of the Max-Miner algorithm for product recommendations in Café Lo Aja Ghulam Prasetyo Utomo; Agung Triayudi; Ira Diana Sholihati
SISFOTENIKA Vol 10, No 2 (2020): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v10i2.964

Abstract

Café Lo Aja is a company that sells food and drinks. The business process carried out by this company is buying goods from suppliers and selling products to customers. Sales transaction data will produce heaps of data that get bigger and bigger, so that it can cause new problems. The purpose of this research is to make an application to process a sales transaction data so that it can produce information about consumer purchasing patterns which will be used to help the Cafe Lo Aja to make business decisions. This study uses Cafe Lo Aja sales transaction data in 2019 with the Data Mining Market Basket Analysis method and the Max-Miner Algorithm. This research produces data which is an association rule from a collection of sales transaction data. So that by knowing the pattern of purchasing these products, the cafe manager can predict future market needs that can take into account what stock items must be reproduced and what items should be reduced because of the small percentage of interested ones. By knowing the results of the association, the manager can adjust the layout of the product menu to be better because products that are often purchased will be placed close together. Suggested application development that can be done in further research is the system can be developed into a mobile application, so consumers can order products on their smartphone devices.